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Lead Bioinformatics Scientist

Remote / Online - Candidates ideally in
Bloemfontein, 9300, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Job Description & How to Apply Below

Our client is seeking an innovative Lead Bioinformatics Scientist to guide their computational biology research from a remote setting. This critical role involves developing and applying cutting-edge computational tools and algorithms to analyze large-scale genomic and proteomic datasets. You will be instrumental in identifying biological insights, discovering biomarkers, and advancing drug discovery efforts. This is an exceptional opportunity for a seasoned bioinformatician to lead challenging projects, mentor a team of analysts, and significantly contribute to groundbreaking scientific research, all while enjoying the flexibility of a remote work environment.

Key Responsibilities
  • Lead the design and implementation of bioinformatics pipelines for next-generation sequencing (NGS) data analysis.
  • Develop and apply statistical and machine learning methods to analyze complex biological datasets (genomics, transcriptomics, proteomics).
  • Collaborate with experimental biologists and clinicians to interpret results and generate actionable insights.
  • Manage computational infrastructure and resources, ensuring efficient data processing and storage.
  • Mentor and guide junior bioinformaticians and data analysts, fostering technical growth.
  • Present findings to scientific teams, management, and at industry conferences.
Requirements
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
  • Minimum of 6 years of experience in bioinformatics research, with a proven track record of leading projects.
  • Expertise in analyzing large-scale biological data, including NGS data (WGS, WES, RNA-Seq).
  • Proficiency in scripting languages (e.g., Python, R, Perl) and command-line environments.
  • Strong understanding of statistical principles and machine learning algorithms applicable to biological data.
Benefits
  • A highly competitive salary package commensurate with experience.
  • Comprehensive health, dental, and vision insurance.
  • Generous stock options and long-term incentive plans.
  • Fully remote work arrangement with support for home office setup.
  • Significant opportunities for career advancement and professional development in a growing field.
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